Kernel-based non-asymptotic parameter estimation of continuous-time systems

Pin, Gilberto; Assalone, Andrea; Lovera, Marco; Parisini, Thomas

doi:10.1109/cdc.2012.6426854

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Kernel-based non-asymptotic parameter estimation of continuous-time systems

Cited by 3 publications

References 6 publications

Fast Determination of Vehicle Suspension Parameters via Continuous Time System Identification * *This work has been supported by the Linz Center of Mechatronics (LCM) in the framework of the Austrian COMET-K2 program.

Fast Determination of Vehicle Suspension Parameters via Continuous Time System Identification * *This work has been supported by the Linz Center of Mechatronics (LCM) in the framework of the Austrian COMET-K2 program.

Deadbeat kernel-based frequency estimation of a biased sinusoidal signal

Kernel-based continuous-time identification of Hammerstein models: Application to the case of ankle joint stiffness dynamics

Contact Info

Product

Resources

About